LANCE AMSR2 Amy Lin Research Scientist Presented at the GHRC User Working Group Meeting September 25-26, 2014

Advanced Microwave Scanning Radiometer (AMSR) Science Investigator-led Processing System (SIPS) Advanced Microwave Scanning Radiometers, developed by the Japan Aerospace Exploration Agency (JAXA; formerly NASDA), are designed to detect water in all its state phases In 1997 NASA established the framework for the Science Investigator-led Processing Systems (SIPS) in order to o enable generation of high quality climate data products o by personnel directly associated with the instrument science team o who work in close cooperation with the DAACs AMSR SIPS at GHRC was established in 1998 to generate standard products from the AMSR-E instrument on Aqua. Near-real time processing for LANCE was added in /25-26/20142GHRC UWG Meeting AMSR-E04 May 2002NASA Aqua AMSR12 Dec 2002JAXA ADEOS-II AMSR217 May 2012JAXA GCOM-W

Is part of NASA’s Earth Observing System Data and Information System (EOSDIS ) Initiated and sponsored by NASA in 2009 to ensure the availability of NASA satellite data products to those partners who have grown to rely on those data for their decision support systems Provides Near-Real-Time ( NRT ) EOS data products within 3 hours of satellite observation with high availability Land, Atmosphere Near real-time Capability for EOS (LANCE) LANCE Data contributed to the successful forecast of hurricane Sandy 9/25/14 – 9/26/14User Working Group Meeting3

LANCE Platforms and Instruments InstrumentSatelliteProduct Categories Latency (min) AIRSAqua Radiances, Temperature and Moisture Profiles, Precipitation, Dust, Clouds and Trace Gases MLSAura Ozone, Temperature, Carbon Monoxide, Water Vapor, Nitric Acid, Nitrous Oxide, Sulfur Dioxide MODIS Terra & Aqua Radiances, Cloud/Aerosols, Water Vapor, Fire, Snow Cover, Sea Ice, Land Surface Reflectance, Land Surface Temperature OMIAuraOzone, Sulfur Dioxide, Aerosols, Cloud Top Pressure AMSR-EAqua Brightness Temperatures, Soil Moisture, Rain Rate, Ocean Products, Snow Water Equivalent, Sea Ice AMSR2 GCOM-W1 ( 雫 ) Expected to be the same as AMSR-E< 180? 9/25/14 – 9/26/14User Working Group Meeting4 AMSR-E: Advanced Microwave Scanning Radiometer for EOS AMSR2: Advanced Microwave Scanning Radiometer 2, a slightly modified and improved version of AMSR-E

AMSR-E AMSR2 9/25/14 – 9/26/14User Working Group Meeting5 GCOM-W1 carrying AMSR2 joined the international A-Train, an Earth observation satellite constellation run by NASA, on July 2, 2012

LANCE AMSR-E User Statistics 9/25/14 – 9/26/14User Working Group Meeting6

LANCE AMSR2 System Overview JAXA GCOM-W1Data Providing Service LANCE AMSR2 Level 2 and Level 3 processing at AMSR SIPS (GHRC) GIBS L1R EOSDIS User Registration System (URS) Worldview Redundant processing strings on 2 independent networks in different buildings will greatly reduce the possibility of data being unavailable due to system outages LANCE AMSR2 NRT data products will be available at AMSR SIPS on GHRC DAAC, for 7-14 days JPG/PNG imagery Data Ingest & Processing LANCE Web & FTP Server LANCE Web & FTP Server AMSR2 NRT L2, L3 daily Science data Data Ingest & Processing lance.nsstc.nasa.gov lance.itsc.uah.edu gwen.nsstc.nasa.gov gwen.itsc.uah.edu KSAT Svalbard Ground Station APID packets ECHO LANCE AMSR2 NRT data product in HDF-EOS5 metadata Registered Users

AMSR2 NRT L2 & L3 Data Products AMSR2 DataDescriptionScience Team A2_RainOcean_NRT Instantaneous Rainfall and rainfall vertical structure (GPROF2010V2) Dr. Kummerow (Lead) Dr. Dave Randel, Mr. David Duncan (Colorado State University) A2_Land_NRT A2_Land3_NRT Surface soil moisture, vegetation water content, surface temperature Dr. Eni G. Njoku (Lead) Dr. Thomas Jackson Dr. Steven Chan (NASA/JPL) A2_DySno_NRT Incremental L3 daily snow water equivalent Dr. Marco Tedesco (Lead) Mr. Jeyaratnam Jeyavinoth (City College of New York) A2_SI6_NRT A2_SI12_NRT A2_SI25_NRT Incremental daily brightness temperature, sea ice product, for spatial resolution 6km, 12km, and 25km Dr. Thorsten Markus (Lead) Dr. Josefino Comiso Dr. Don Cavalieri (NASA/GSFC) 9/25/14 – 9/26/14 8 Algorithm has been delivered User Working Group Meeting

LANCE AMSR-E Imagery (Level 2) Surface Soil Moisture from AE_Land_NRT Global Rain Rate from AE_Rain_NRT

LANCE AMSR-E Imagery (Level 3) Daily Soil Moisture from AE_Land3_NRT Daily Snow Water Equivalent from AE_DySnow_NRT

LANCE AMSR-E Imagery (Level 3) Brightness Temperature at 89V GHz from AE_SI6_NRT Sea Ice Con. from AE_SI25_NRT Sea Ice Con. from AE_SI12_NRT

AMSR-E on Worldview 9/25/14 – 9/26/1412User Working Group Meeting

9/25/14 – 9/26/1413User Working Group Meeting Sea Ice Concentration overlaid with Snow Depth over Ice (12 km) URL:

User Working Group Meeting SPoRT generated AMSR-E Convective Percent of Storms from AMSR-E observation in the early hour of of the line of storms that swept through the southeast bringing heavy rains and several tornadoes SPoRT generated AMSR-E Rain Rate of hurricane Katrina the day before making landfall on the gulf coasts

Presented at the GHRC User Working Group Meeting September 25-26, 2014 AMSR-E PROVENANCE Michael McEniry Research Associate

9/25/14 – 9/26/1416User Working Group Meeting Make the preserved data / information available to all our stakeholder communities with traceability to support authenticity. Data Stewardship Context

9/25/14 – 9/26/1417User Working Group Meeting Importance of Provenance Understand how a data product was generated o Relationships among products, processes o Corroborate scientific validity Data preservation requirements from NASA Earth Science Data and Information Systems Project o Data Preservation Specification document includes algorithm information, processing history, input data

9/25/14 – 9/26/1418User Working Group Meeting Questions that Provenance can Help Answer How was this product created? Which algorithm version created this product? This data file is incorrect. Was it corrected in a later edition? This data file is incorrect. What changed in this processing run?

9/25/14 – 9/26/1419User Working Group Meeting AMSR-E Sea Ice Use Case Sea ice scientists saw problem with reprocessed products: Not enough arctic ice in January Problem caused by reprocessing each calendar year independently o Sea ice mask derived from previous 5 days’ output o Use default (October) mask if previous output missing New processing rules to prevent same mistake o If mask is older than 5 days, then report error and stop o Process sequentially from beginning of mission Investigation required scattered information o Documentation, software, tacit knowledge

What if Provenance was Already Available? Shorter investigation time o Reduced scattering of information o Reduced chance of missing information Analysis tools o Dependency visualization o Version comparison o Automated rule verification 9/25/14 – 9/26/1420User Working Group Meeting

Approach in AMSR-E Instrumentation library o Minimal impact o Logs "consumed", "invoked" and "produced" events Aggregate scattered metadata o Product creation o Data contents o Quality o Science algorithm Provenance browser 9/25/14 – 9/26/1421User Working Group Meeting

AMSR-E Provenance Browser Users may explore the provenance repository by browsing the list of files; browsing imagery; searching for a specific file name; or viewing general processing information by product type. 9/25/14 – 9/26/14User Working Group Meeting22

AMSR-E Provenance Browser 9/25/14 – 9/26/14User Working Group Meeting23

AMSR-E Provenance Browser 9/25/14 – 9/26/14User Working Group Meeting24

Discussion THANK YOU for your attention!  What real time applications do you have for AMSR2 data?  What data fields would you like to see available at GIBS/Worldview?  Do you have a need for data provenance information? How do you want to access that information?  In-file metadata  Separate metadata query  Interactive browser Please contact GHRC User Services for any help or questions 9/25/14 – 9/26/14User Working Group Meeting25